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February 2, 2026Journal of Industrial Integration and Management0 citations

Mathematical modelling on EPQ under imperfect production system and shortages with asynchronous rework rate - a Grey Wolf Optimization approach

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SPSneha PoddarNational Institute Of Technology SilcharPDPijus Kanti DeNational Institute Of Technology SilcharMKMamta KumariIndian Institute of Technology Bombay

Key Points

  • The paper aims to find optimal solutions for lot size, backordered quantities, setup costs, and investment in green technology to minimize total manufacturing costs.
  • Proposed two models addressing shortages, one with perfect production and one allowing defective production with rework.
  • Integrated green technology investment to reduce carbon emissions and costs.
  • Used Grey Wolf Optimization for finding optimal solutions.
  • Numerical example and sensitivity analysis conducted for validation.
  • Optimal values for lot size and backordered quantities were identified.
  • Integration of green technology significantly reduced carbon emissions.
  • Setup costs were minimized while ensuring sustainability.

Abstract

This article presents an environmentally sustainable Economic Production Quantity (EPQ) model under the influence of imperfect production and shortages. The defective items are reworked under an asynchronous rework process, where the reworking starts just after the production process stops. In this study, we have proposed two models under shortages, one with shortages satisfied by perfect production, and the other with shortages satisfied by production permitting defective item production which are reworked under asynchronous approach. During the processes of production, transportation and storage of inventory items, significant amount of carbon emissions is generated. In order to minimize these emissions and to reduce the setup costs, this paper proposes the integration of investment in green technology. The primary objective of this paper is to obtain the optimal values of lot size, backordered quantities, setup costs and green investment amounts in order to minimize the total cost of the manufacturer. To find the optimal solution, we have employed a metaheuristic method, Grey Wolf Optimization (GWO). A numerical example is also presented, accompanied with a sensitivity analysis to illustrate and validate the outcomes of the proposed inventory models.

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Cite This Study

Poddar et al. (2026) studied this question.

synapsesocial.com/papers/6980fe27c1c9540dea80ff9ahttps://doi.org/10.1142/s242486222650003x
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